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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 5

Multi-modal pedestrian crossing intention prediction model based on pre-normalization transformer

Chen Zhendong
Liu Guangcong
Ye Zhenyu
Computer School, Guangdong University of Technology, Guangzhou 510006, China
DOI: 10.19734/j.issn.1001-3695.2024.10.0428

Abstract

Predicting pedestrians' crossing intentions is one of the crucial aspects of pedestrian-vehicle interaction in autonomous driving systems, aimed at anticipating the crossing behavior of pedestrians on both sides of the road for making early decisions on deceleration or avoidance. To enhance the accuracy of identifying pedestrians' crossing intentions, this paper proposes a pedestrian crossing intention prediction model inspired by the pre-normalization attention mechanism, which extracts and complementarily fuses different modal features of pedestrians. The model employs a Uni-modal Feature Enhancement (UFE) module to extract key features from single modalities, followed by a Multi-modal Feature Interaction (MFI) module to fuse features between different modalities. The experimental results show that the model achieves an accuracy rate of 91% on both the PIE and JAAD datasets. Additionally, extensive ablation experiments on different modal information fusion strategies prove the model's effectiveness, providing more accurate pedestrian crossing intention predictions for autonomous driving systems.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.10.0428
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 5

Publish History

[2025-03-06] Accepted Paper

Cite This Article

陈振东, 刘广聪, 叶振宇. 基于前置归一化Transformer的融合多模态行人过街意图预测模型 [J]. 计算机应用研究, 2025, 42 (5). (2025-03-06). https://doi.org/10.19734/j.issn.1001-3695.2024.10.0428. (Chen Zhendong, Liu Guangcong, Ye Zhenyu. Multi-modal pedestrian crossing intention prediction model based on pre-normalization transformer [J]. Application Research of Computers, 2025, 42 (5). (2025-03-06). https://doi.org/10.19734/j.issn.1001-3695.2024.10.0428. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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